# Senior GenAI Algorithms Engineer

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Systems-and-Algorithms-Engineer_JR2029005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_16ba1e70-a57

## Description

NVIDIA is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment.

You will work at the intersection of large-scale distributed training, reinforcement learning for LLMs/VLMs, model efficiency, multimodal AI, and open-source AI infrastructure.

This role spans the entire GenAI lifecycle from large-scale data preparation to training, post-training, inference optimization, and framework development.

You will collaborate with research, product, and infrastructure teams to design new algorithms, optimize existing systems, and contribute to NVIDIA's open-source AI stack, including Megatron-LM, Megatron Bridge, and NeMo-RL.

**Responsibilities**

- Data Curation & Readiness: Design scalable systems for preparing high-quality multimodal datasets for frontier foundation model training.

- Training Efficiency: Develop algorithms and systems that improve the scalability, efficiency, and cost of large-scale pre-training and post-training.

- Inference Efficiency: Advance techniques that improve inference performance, reduce deployment cost, and enable efficient serving across cloud and edge platforms.

- Open-Source AI Infrastructure: Develop reusable infrastructure and contribute brand new model support to NVIDIA's open-source GenAI training platform.

**Requirements**

- MS or Ph.D in Computer Science, AI, Applied Mathematics, or a related field (or equivalent experience).

- 5+ years of relevant industry experience.

- Strong foundation in machine learning, deep learning, and optimization.

- Excellent software engineering skills, including Python and PyTorch.

- Experience building high-performance software for large-scale AI systems.

- Strong analytical, debugging, and performance optimization skills.

- Excellent communication and collaboration skills.

**Nice to Have**

- Experience in some of the following areas is highly desirable:

+ Distributed training at scale using frameworks like Megatron-LM and Megatron Bridge.   + LLM/VLM Post-Training: Supervised fine-tuning (SFT), reinforcement learning for LLMs (e.g., PPO, GRPO, asynchronous RL), and large-scale RL frameworks such as NeMo-RL.   + Inference Efficiency: Model compression techniques including quantization (FP8, NVFP4, INT4), pruning, knowledge distillation, neural architecture search, and diffusion or non-autoregressive language models.   + Open-Source AI Infrastructure: Contributing to open-source AI frameworks such as Megatron-LM, Megatron Bridge, NeMo-RL, or Hugging Face Transformers along with experience in GPU performance optimization, distributed systems, latency/throughput analysis, and profiling of large-scale AI workloads.

**Salary**

The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

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## Skills

### Required
- Python
- PyTorch
- Machine Learning
- Deep Learning
- Optimization
- Software Engineering

### Nice to have
- Megatron-LM
- Megatron Bridge
- NeMo-RL
- Distributed Training
- Reinforcement Learning
- Model Compression
- GPU Performance Optimization

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-AI-Systems-and-Algorithms-Engineer_JR2029005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)